Louisa Hohmann1, Martin Holtkamp2, Frank Oltmanns3, Thomas Bengner2. 1. Epilepsy-Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Evangelisches Krankenhaus Königin Elisabeth Herzberge, Berlin, Germany; Epilepsy-Center Berlin-Brandenburg, Department of Neurology, Charité -Universitätsmedizin Berlin, Germany. Electronic address: louisa.hohmann@charite.de. 2. Epilepsy-Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Evangelisches Krankenhaus Königin Elisabeth Herzberge, Berlin, Germany; Epilepsy-Center Berlin-Brandenburg, Department of Neurology, Charité -Universitätsmedizin Berlin, Germany. 3. Epilepsy-Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Evangelisches Krankenhaus Königin Elisabeth Herzberge, Berlin, Germany.
Abstract
OBJECTIVE: Epilepsy is often associated with low socioeconomic status (SES). People with epilepsy (PWE) also suffer from cognitive dysfunction and mental distress. In the general population, these constraints are related to individual and structural SES. However, in PWE, cognitive dysfunction and mental distress have been mainly attributed to biological factors such as brain lesions or pharmacological treatment, whereas comprehensive studies on possible social determinants are missing. Here, we study associations of individual and structural SES with cognition and mental distress in PWE. METHODS: We retrospectively studied 340 adult patients with pharmacoresistant focal epilepsy from Berlin treated at a tertiary epilepsy center. Individual SES (education, employment, and income), structural SES (social index of district and neighborhood), and their interactions were examined. Associations between social variables and verbal learning, psychomotor speed, and mental distress were analyzed with multiple regression analyses, controlling for demographic and medical variables and intelligence. RESULTS: Our sample had lower educational levels and lived more frequently in low SES neighborhoods compared to the general population of Berlin. Thirty percent showed reduced verbal learning, 31% had deficits in psychomotor speed, and 20% revealed significant mental distress. Lower structural SES was related to lower psychomotor speed (ΔR2 = 0.9%) and higher mental distress (ΔR2 = 1.6%). Employment was related to verbal learning (ΔR2 = 0.7%) and psychomotor speed (ΔR2 = 1.2%). Income and education were linked to mental distress (ΔR2 = 5%). Neighborhood and individual SES covered more than half of the explained variance in mental distress. Furthermore, interactions between individual and structural SES were identified. CONCLUSION: We confirm cognitive deficits, significant mental distress, and individual and structural social disadvantage in PWE. Our findings indicate that individual and structural SES are related to cognitive and emotional well-being beyond demographic and medical characteristics. As a clinical implication, individual and structural SES should be considered when interpreting neuropsychological findings.
OBJECTIVE:Epilepsy is often associated with low socioeconomic status (SES). People with epilepsy (PWE) also suffer from cognitive dysfunction and mental distress. In the general population, these constraints are related to individual and structural SES. However, in PWE, cognitive dysfunction and mental distress have been mainly attributed to biological factors such as brain lesions or pharmacological treatment, whereas comprehensive studies on possible social determinants are missing. Here, we study associations of individual and structural SES with cognition and mental distress in PWE. METHODS: We retrospectively studied 340 adult patients with pharmacoresistant focal epilepsy from Berlin treated at a tertiary epilepsy center. Individual SES (education, employment, and income), structural SES (social index of district and neighborhood), and their interactions were examined. Associations between social variables and verbal learning, psychomotor speed, and mental distress were analyzed with multiple regression analyses, controlling for demographic and medical variables and intelligence. RESULTS: Our sample had lower educational levels and lived more frequently in low SES neighborhoods compared to the general population of Berlin. Thirty percent showed reduced verbal learning, 31% had deficits in psychomotor speed, and 20% revealed significant mental distress. Lower structural SES was related to lower psychomotor speed (ΔR2 = 0.9%) and higher mental distress (ΔR2 = 1.6%). Employment was related to verbal learning (ΔR2 = 0.7%) and psychomotor speed (ΔR2 = 1.2%). Income and education were linked to mental distress (ΔR2 = 5%). Neighborhood and individual SES covered more than half of the explained variance in mental distress. Furthermore, interactions between individual and structural SES were identified. CONCLUSION: We confirm cognitive deficits, significant mental distress, and individual and structural social disadvantage in PWE. Our findings indicate that individual and structural SES are related to cognitive and emotional well-being beyond demographic and medical characteristics. As a clinical implication, individual and structural SES should be considered when interpreting neuropsychological findings.